Asaf Yehudai

According to our database, Asaf Yehudai authored at least 30 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks.

Tomer Keren, Nitay Calderon, Asaf Yehudai, Yotam Perlitz, Michal Shmueli-Scheuer, Roi Reichert

CoRR, May, 2026

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents.

Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer

CoRR, May, 2026

Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents?

Leyao Wang, Yanan He, Peng Chen, Asaf Yehudai, Yixin Liu, Rex Ying, Michal Shmueli-Scheuer, Arman Cohan

CoRR, May, 2026

Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration.

Eliya Habba, Itay Itzhak, Asaf Yehudai, Yotam Perlitz, Elron Bandel, Michal Shmueli-Scheuer, Leshem Choshen, Gabriel Stanovsky

CoRR, April, 2026

CUBE: A Standard for Unifying Agent Benchmarks.

Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song

CoRR, March, 2026

General Agent Evaluation.

Elron Bandel, Asaf Yehudai, Lilach Eden, Yehoshua Sagron, Yotam Perlitz, Elad Venezian, Natalia Razinkov, Natan Ergas, Shlomit Shachor Ifergan, Segev Shlomov, Michal Jacovi, Leshem Choshen, Liat Ein-Dor, Yoav Katz, Michal Shmueli-Scheuer

CoRR, February, 2026

Will it Merge? On The Causes of Model Mergeability.

Adir Rahamim, Asaf Yehudai, Boaz Carmeli, Leshem Choshen, Yosi Mass, Yonatan Belinkov

CoRR, January, 2026

Mediocrity is the key for LLM as a Judge Anchor Selection.

Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, Omri Abend

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy.

Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization.

Omri Uzan, Asaf Yehudai, Roi Pony, Eyal Shnarch, Ariel Gera

CoRR, October, 2025

Survey on Evaluation of LLM-based Agents.

Asaf Yehudai, Lilach Eden, Alan Li, Guy Uziel, Yilun Zhao, Roy Bar-Haim, Arman Cohan, Michal Shmueli-Scheuer

CoRR, March, 2025

WildIFEval: Instruction Following in the Wild.

Gili Lior, Asaf Yehudai, Ariel Gera, Liat Ein-Dor

CoRR, March, 2025

The Mighty ToRR: A Benchmark for Table Reasoning and Robustness.

Shir Ashury-Tahan, Yifan Mai, Rajmohan C, Ariel Gera, Yotam Perlitz, Asaf Yehudai, Elron Bandel, Leshem Choshen, Eyal Shnarch, Percy Liang, Michal Shmueli-Scheuer

CoRR, February, 2025

Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

JuStRank: Benchmarking LLM Judges for System Ranking.

Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, Asaf Yehudai

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

CoRR, 2024

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation.

Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen

CoRR, 2024

When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes.

Asaf Yehudai, Elron Bendel

CoRR, 2024

Genie: Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen

CoRR, 2024

FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes.

Asaf Yehudai, Elron Bandel

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

More Bang for your Context: Virtual Documents for Question Answering over Long Documents.

Yosi Mass, Boaz Carmeli, Asaf Yehudai, Assaf Toledo, Nathaniel Mills

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation.

Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.

Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

A Grounded Preference Model for LLM Alignment.

Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

QAID: Question Answering Inspired Few-shot Intent Detection.

Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluating and Improving the Coreference Capabilities of Machine Translation Models.

Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Reinforcement Learning with Large Action Spaces for Neural Machine Translation.

Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval.

Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach.

Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021